diff options
Diffstat (limited to 'examples/graph_vgg19.cpp')
| -rw-r--r-- | examples/graph_vgg19.cpp | 10 |
1 files changed, 8 insertions, 2 deletions
diff --git a/examples/graph_vgg19.cpp b/examples/graph_vgg19.cpp index 28e1a0fe04..fed2c806ee 100644 --- a/examples/graph_vgg19.cpp +++ b/examples/graph_vgg19.cpp @@ -51,8 +51,12 @@ public: std::unique_ptr<IPreprocessor> preprocessor = arm_compute::support::cpp14::make_unique<CaffePreproccessor>(mean_rgb); // Set target. 0 (NEON), 1 (OpenCL), 2 (OpenCL with Tuner). By default it is NEON - const int target = argc > 1 ? std::strtol(argv[1], nullptr, 10) : 0; - Target target_hint = set_target_hint(target); + const int target = argc > 1 ? std::strtol(argv[1], nullptr, 10) : 0; + Target target_hint = set_target_hint(target); + const bool is_opencl = target_hint == Target::CL; + + ConvolutionMethod first_convolution3x3_hint = is_opencl ? ConvolutionMethod::DIRECT : ConvolutionMethod::GEMM; + ConvolutionMethod convolution3x3_hint = ConvolutionMethod::DEFAULT; // Parse arguments if(argc < 2) @@ -87,6 +91,7 @@ public: } graph << target_hint + << first_convolution3x3_hint << InputLayer(TensorDescriptor(TensorShape(224U, 224U, 3U, 1U), DataType::F32), get_input_accessor(image, std::move(preprocessor))) // Layer 1 @@ -96,6 +101,7 @@ public: get_weights_accessor(data_path, "/cnn_data/vgg19_model/conv1_1_b.npy"), PadStrideInfo(1, 1, 1, 1)) << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) + << convolution3x3_hint << ConvolutionLayer( 3U, 3U, 64U, get_weights_accessor(data_path, "/cnn_data/vgg19_model/conv1_2_w.npy"), |